1 About

This are the learning materials for introduction to the R programming language. These are divided into sessions based on series of topics.

Although this is created based on webinar-sessions in mind, it can also adopted as self-learning material.

2 Audience

Focused with Ecological applications.

3 Prerequisites

  • No prior programming experience is required.
  • Good internet connection
  • A very basic knowledge of UNIX would be an advantage, but nothing will assumed and extremely little will be required.

4 Objectives

After going though this you should feel confident to start exploring your own dataset using the materials and references provided. Including things like:

  • Import data and plot graphs
  • Perform statistical tests in R
  • Create a documented and reproducible piece of R code
  • Know how to develop your skills in R after the course

5 Aims

During this course you will learn about:

  • The R and R Studio interface
  • Basic object types in R
  • Importing tabular data into R
  • Manipulating data in R
  • Using in-built functions
  • Basic data analysis in R
  • Basic Plotting
  • Customizing plots
  • Creating reproducible reports in R

6 Resources:

This materials are combination of one or more resources listed bellow.123

  1. Cambridge Basic R Course↩︎

  2. swcarpentry r-novice-inflammation↩︎

  3. Data Analysis and Visualization in R for Ecologists↩︎

 

Created and Maintained by Sangram Keshari Sahu
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